Statistics / Football / Poland. III Liga - Group 1 / Troszyn vs Łomża

Troszyn vs Łomża Statistics & Analysis

Troszyn Troszyn
May 23, 2026 - 14:00
0 1.45
2 1.25
xG Accuracy: 55%
Łomża Łomża
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Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Troszyn Łomża ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 0-1 0-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 02:18 UTC Snapshot ID: dp-2560198

Closing Odds 3.02
AI Fair Odds —
CLV +0.0%
Final Result Łomża win · Troszyn 0–2 Łomża
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Troszyn (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Troszyn (1X2) by about 12.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Troszyn (1X2) 41.8 29.4 +12.3
Draw (1X2) 25.7 25.7 -0.0
Łomża (1X2) 32.6 44.9 -12.3
Over 2.5 goals 50.6 59.7 -9.1
Under 2.5 goals 49.4 40.3 +9.1
What this means

In plain terms: the model lands near 41.8% on Troszyn (1X2), while the closing snapshot implied about 29.4%. The difference — about 12.3 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Troszyn (1X2) 3.02 3.02 0.0
Draw (1X2) 3.46 3.46 0.0
Łomża (1X2) 1.98 1.98 0.0
Over 2.5 goals 1.53 1.53 0.0
Under 2.5 goals 2.27 2.27 0.0

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: III Liga - Group 1
  • Fixture: Troszyn vs Łomża
  • Kickoff: 2026-05-23 16:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Troszyn 1.45 — Łomża 1.25 (total xG ≈ 2.7)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 49.4% · Implied: 40.0% · Probability edge: +9.4 pts · Est. EV: +21.0%
  • BTTS (model): Yes 82.0% · No 18.0%
  • Correct score (top bin): 1-1 (9.6%)

Totals and BTTS are evaluated against current market prices where available.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 29, 2026 (UTC)

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Back to Statistics
III Liga - Group 1 III Liga - Group 1 — Standings
# TEAM MP W D L PTS
1 Legia Warszawa II 34 27 3 4 84
2 Łomża 34 22 5 7 71
3 Warta Sieradz 34 21 8 5 71
4 Wigry Suwałki 34 20 5 9 65
5 Troszyn 34 17 6 11 57
6 Wisła Płock II 34 16 8 10 56
7 Widzew II 34 17 3 14 54
8 Jagiellonia II 34 14 7 13 49
9 Lechia T. Mazowiecki 34 13 8 13 47
10 Ząbkovia Ząbki 34 13 5 16 44
11 Swit 34 12 5 17 41
12 Mławianka Mława 34 11 7 16 40
13 Olimpia Elbląg 34 10 8 16 38
14 Wikielec 34 10 7 17 37
15 Broń Radom 34 9 9 16 36
16 Bełchatów 34 9 7 18 34
17 Wasilków 34 7 4 23 25
18 Znicz Biała Piska 34 4 3 27 15
# TEAM MP GS GC +/- PTS
1 Legia Warszawa II 34 82 29 +53 84
2 Łomża 34 77 31 +46 71
3 Troszyn 34 75 47 +28 57
4 Ząbkovia Ząbki 34 72 64 +8 44
5 Widzew II 34 70 64 +6 54
6 Warta Sieradz 34 64 34 +30 71
7 Wigry Suwałki 34 64 43 +21 65
8 Lechia T. Mazowiecki 34 64 55 +9 47
9 Wisła Płock II 34 56 51 +5 56
10 Mławianka Mława 34 55 59 -4 40
11 Swit 34 51 66 -15 41
12 Bełchatów 34 50 76 -26 34
13 Jagiellonia II 34 46 45 +1 49
14 Olimpia Elbląg 34 45 61 -16 38
15 Wikielec 34 40 54 -14 37
16 Broń Radom 34 40 57 -17 36
17 Wasilków 34 40 79 -39 25
18 Znicz Biała Piska 34 27 103 -76 15
III Liga - Group 1 Poland. III Liga - Group 1 Predictions